Linear Programming for Multi-Criteria Assessment with Cardinal and Ordinal Data: A Pessimistic Virtual Gap Analysis

“Researchers propose a Virtual Gap Analysis approach using linear programming to improve Multi-Criteria Analysis by reducing subjective bias and handling mixed cardinal and ordinal data types. This advancement could enhance AI decision-making systems that rely on evaluating multiple competing factors, making them more robust and reliable across diverse real-world applications.”